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st: standard errors for marginal effects for multiple outcomes in ordered models


From   "Eric Lawrence" <[email protected]>
To   [email protected]
Subject   st: standard errors for marginal effects for multiple outcomes in ordered models
Date   Fri, 9 Jan 2009 16:35:44 -0500

<>
I've searched the archives and not found an answer to my query.
Is there a straightforward way to obtain the standard errors for the
marginal effects for multiple categories in ordered logit/probit
models?

More precisely, after ologit/oprobit, typing:

mfx, at(mean) predict(outcome(1))

yields the marginal effects for the dependent variable taking on the
value of 1.  [y  = Pr(y==1) (predict, outcome(1))]
What I would like is something like:

mfx, at(mean) predict(outcome(1 2))

that would produce the marginal effects and the standard errors for
the dependent variable taking on the value of 1 or 2, y = Pr(y==1 |
y==2).

It's trivial to get the marginal effects by repeated calls to mfx.
The standard errors are not as obvious.

Thank you.

Eric Lawrence
Dept. of Political Science
George Washington University
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